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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 27 Nov 2007 04:01:41 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/27/t1196160791x7odz067nukaxjq.htm/, Retrieved Sun, 05 May 2024 20:10:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6849, Retrieved Sun, 05 May 2024 20:10:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 4 Q2 Aut...] [2007-11-27 11:01:41] [44cf2be50bc8700e14714598feda9df9] [Current]
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Dataseries X:
15761.3
16943.0
15070.3
13659.6
14768.9
14725.1
15998.1
15370.6
14956.9
15469.7
15101.8
11703.7
16283.6
16726.5
14968.9
14861.0
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872.0
17420.4
16704.4
15991.2
16583.6
19123.5
17838.7
17209.4
18586.5
16258.1
15141.6
19202.1
17746.5
19090.1
18040.3
17515.5
17751.8
21072.4
17170.0
19439.5
19795.4
17574.9
16165.4
19464.6
19932.1
19961.2
17343.4
18924.2
18574.1
21350.6
18840.1
20304.8
21132.4
19753.9
18009.9
20390.4




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6849&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6849&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6849&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0170
1-0.073548-0.51480.695509
20.0503770.35260.362935
30.3241742.26920.013847
4-0.017367-0.12160.548132
5-0.027664-0.19370.576375
60.0771520.54010.2958
7-0.277561-1.94290.971109
80.0163940.11480.454553
9-0.039878-0.27910.609347
10-0.154638-1.08250.857828
11-0.09345-0.65420.741963
12-0.186246-1.30370.90079
13-0.066361-0.46450.677837
140.0713270.49930.309905
15-0.09618-0.67330.748027
16-0.163997-1.1480.871725
170.1758521.2310.112106
180.0539560.37770.353644
19-0.051178-0.35820.63915
200.0314090.21990.413445
210.1221670.85520.19831
22-0.197077-1.37950.913004
230.1587831.11150.135893
24-0.084585-0.59210.721745
25-0.198759-1.39130.914792
260.0412350.28860.387035
27-0.040511-0.28360.611037
28-0.102024-0.71420.760744
290.0469730.32880.371849
30-0.108126-0.75690.773628
310.1133280.79330.215715
320.0525270.36770.357344
33-0.114602-0.80220.786849
340.1560211.09210.140054
350.0880770.61650.270196
36-0.032412-0.22690.589271
370.1388340.97180.167953
380.1048260.73380.23329
39-0.007939-0.05560.522047
400.0806350.56440.287512
410.0100180.07010.47219
42-0.064543-0.45180.673297
43-0.037327-0.26130.602517
44-0.041697-0.29190.614195
45-0.085511-0.59860.723894
46-0.048072-0.33650.631037
47-0.00661-0.04630.518359

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7 & 0 \tabularnewline
1 & -0.073548 & -0.5148 & 0.695509 \tabularnewline
2 & 0.050377 & 0.3526 & 0.362935 \tabularnewline
3 & 0.324174 & 2.2692 & 0.013847 \tabularnewline
4 & -0.017367 & -0.1216 & 0.548132 \tabularnewline
5 & -0.027664 & -0.1937 & 0.576375 \tabularnewline
6 & 0.077152 & 0.5401 & 0.2958 \tabularnewline
7 & -0.277561 & -1.9429 & 0.971109 \tabularnewline
8 & 0.016394 & 0.1148 & 0.454553 \tabularnewline
9 & -0.039878 & -0.2791 & 0.609347 \tabularnewline
10 & -0.154638 & -1.0825 & 0.857828 \tabularnewline
11 & -0.09345 & -0.6542 & 0.741963 \tabularnewline
12 & -0.186246 & -1.3037 & 0.90079 \tabularnewline
13 & -0.066361 & -0.4645 & 0.677837 \tabularnewline
14 & 0.071327 & 0.4993 & 0.309905 \tabularnewline
15 & -0.09618 & -0.6733 & 0.748027 \tabularnewline
16 & -0.163997 & -1.148 & 0.871725 \tabularnewline
17 & 0.175852 & 1.231 & 0.112106 \tabularnewline
18 & 0.053956 & 0.3777 & 0.353644 \tabularnewline
19 & -0.051178 & -0.3582 & 0.63915 \tabularnewline
20 & 0.031409 & 0.2199 & 0.413445 \tabularnewline
21 & 0.122167 & 0.8552 & 0.19831 \tabularnewline
22 & -0.197077 & -1.3795 & 0.913004 \tabularnewline
23 & 0.158783 & 1.1115 & 0.135893 \tabularnewline
24 & -0.084585 & -0.5921 & 0.721745 \tabularnewline
25 & -0.198759 & -1.3913 & 0.914792 \tabularnewline
26 & 0.041235 & 0.2886 & 0.387035 \tabularnewline
27 & -0.040511 & -0.2836 & 0.611037 \tabularnewline
28 & -0.102024 & -0.7142 & 0.760744 \tabularnewline
29 & 0.046973 & 0.3288 & 0.371849 \tabularnewline
30 & -0.108126 & -0.7569 & 0.773628 \tabularnewline
31 & 0.113328 & 0.7933 & 0.215715 \tabularnewline
32 & 0.052527 & 0.3677 & 0.357344 \tabularnewline
33 & -0.114602 & -0.8022 & 0.786849 \tabularnewline
34 & 0.156021 & 1.0921 & 0.140054 \tabularnewline
35 & 0.088077 & 0.6165 & 0.270196 \tabularnewline
36 & -0.032412 & -0.2269 & 0.589271 \tabularnewline
37 & 0.138834 & 0.9718 & 0.167953 \tabularnewline
38 & 0.104826 & 0.7338 & 0.23329 \tabularnewline
39 & -0.007939 & -0.0556 & 0.522047 \tabularnewline
40 & 0.080635 & 0.5644 & 0.287512 \tabularnewline
41 & 0.010018 & 0.0701 & 0.47219 \tabularnewline
42 & -0.064543 & -0.4518 & 0.673297 \tabularnewline
43 & -0.037327 & -0.2613 & 0.602517 \tabularnewline
44 & -0.041697 & -0.2919 & 0.614195 \tabularnewline
45 & -0.085511 & -0.5986 & 0.723894 \tabularnewline
46 & -0.048072 & -0.3365 & 0.631037 \tabularnewline
47 & -0.00661 & -0.0463 & 0.518359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6849&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]7[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.073548[/C][C]-0.5148[/C][C]0.695509[/C][/ROW]
[ROW][C]2[/C][C]0.050377[/C][C]0.3526[/C][C]0.362935[/C][/ROW]
[ROW][C]3[/C][C]0.324174[/C][C]2.2692[/C][C]0.013847[/C][/ROW]
[ROW][C]4[/C][C]-0.017367[/C][C]-0.1216[/C][C]0.548132[/C][/ROW]
[ROW][C]5[/C][C]-0.027664[/C][C]-0.1937[/C][C]0.576375[/C][/ROW]
[ROW][C]6[/C][C]0.077152[/C][C]0.5401[/C][C]0.2958[/C][/ROW]
[ROW][C]7[/C][C]-0.277561[/C][C]-1.9429[/C][C]0.971109[/C][/ROW]
[ROW][C]8[/C][C]0.016394[/C][C]0.1148[/C][C]0.454553[/C][/ROW]
[ROW][C]9[/C][C]-0.039878[/C][C]-0.2791[/C][C]0.609347[/C][/ROW]
[ROW][C]10[/C][C]-0.154638[/C][C]-1.0825[/C][C]0.857828[/C][/ROW]
[ROW][C]11[/C][C]-0.09345[/C][C]-0.6542[/C][C]0.741963[/C][/ROW]
[ROW][C]12[/C][C]-0.186246[/C][C]-1.3037[/C][C]0.90079[/C][/ROW]
[ROW][C]13[/C][C]-0.066361[/C][C]-0.4645[/C][C]0.677837[/C][/ROW]
[ROW][C]14[/C][C]0.071327[/C][C]0.4993[/C][C]0.309905[/C][/ROW]
[ROW][C]15[/C][C]-0.09618[/C][C]-0.6733[/C][C]0.748027[/C][/ROW]
[ROW][C]16[/C][C]-0.163997[/C][C]-1.148[/C][C]0.871725[/C][/ROW]
[ROW][C]17[/C][C]0.175852[/C][C]1.231[/C][C]0.112106[/C][/ROW]
[ROW][C]18[/C][C]0.053956[/C][C]0.3777[/C][C]0.353644[/C][/ROW]
[ROW][C]19[/C][C]-0.051178[/C][C]-0.3582[/C][C]0.63915[/C][/ROW]
[ROW][C]20[/C][C]0.031409[/C][C]0.2199[/C][C]0.413445[/C][/ROW]
[ROW][C]21[/C][C]0.122167[/C][C]0.8552[/C][C]0.19831[/C][/ROW]
[ROW][C]22[/C][C]-0.197077[/C][C]-1.3795[/C][C]0.913004[/C][/ROW]
[ROW][C]23[/C][C]0.158783[/C][C]1.1115[/C][C]0.135893[/C][/ROW]
[ROW][C]24[/C][C]-0.084585[/C][C]-0.5921[/C][C]0.721745[/C][/ROW]
[ROW][C]25[/C][C]-0.198759[/C][C]-1.3913[/C][C]0.914792[/C][/ROW]
[ROW][C]26[/C][C]0.041235[/C][C]0.2886[/C][C]0.387035[/C][/ROW]
[ROW][C]27[/C][C]-0.040511[/C][C]-0.2836[/C][C]0.611037[/C][/ROW]
[ROW][C]28[/C][C]-0.102024[/C][C]-0.7142[/C][C]0.760744[/C][/ROW]
[ROW][C]29[/C][C]0.046973[/C][C]0.3288[/C][C]0.371849[/C][/ROW]
[ROW][C]30[/C][C]-0.108126[/C][C]-0.7569[/C][C]0.773628[/C][/ROW]
[ROW][C]31[/C][C]0.113328[/C][C]0.7933[/C][C]0.215715[/C][/ROW]
[ROW][C]32[/C][C]0.052527[/C][C]0.3677[/C][C]0.357344[/C][/ROW]
[ROW][C]33[/C][C]-0.114602[/C][C]-0.8022[/C][C]0.786849[/C][/ROW]
[ROW][C]34[/C][C]0.156021[/C][C]1.0921[/C][C]0.140054[/C][/ROW]
[ROW][C]35[/C][C]0.088077[/C][C]0.6165[/C][C]0.270196[/C][/ROW]
[ROW][C]36[/C][C]-0.032412[/C][C]-0.2269[/C][C]0.589271[/C][/ROW]
[ROW][C]37[/C][C]0.138834[/C][C]0.9718[/C][C]0.167953[/C][/ROW]
[ROW][C]38[/C][C]0.104826[/C][C]0.7338[/C][C]0.23329[/C][/ROW]
[ROW][C]39[/C][C]-0.007939[/C][C]-0.0556[/C][C]0.522047[/C][/ROW]
[ROW][C]40[/C][C]0.080635[/C][C]0.5644[/C][C]0.287512[/C][/ROW]
[ROW][C]41[/C][C]0.010018[/C][C]0.0701[/C][C]0.47219[/C][/ROW]
[ROW][C]42[/C][C]-0.064543[/C][C]-0.4518[/C][C]0.673297[/C][/ROW]
[ROW][C]43[/C][C]-0.037327[/C][C]-0.2613[/C][C]0.602517[/C][/ROW]
[ROW][C]44[/C][C]-0.041697[/C][C]-0.2919[/C][C]0.614195[/C][/ROW]
[ROW][C]45[/C][C]-0.085511[/C][C]-0.5986[/C][C]0.723894[/C][/ROW]
[ROW][C]46[/C][C]-0.048072[/C][C]-0.3365[/C][C]0.631037[/C][/ROW]
[ROW][C]47[/C][C]-0.00661[/C][C]-0.0463[/C][C]0.518359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6849&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6849&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
0170
1-0.073548-0.51480.695509
20.0503770.35260.362935
30.3241742.26920.013847
4-0.017367-0.12160.548132
5-0.027664-0.19370.576375
60.0771520.54010.2958
7-0.277561-1.94290.971109
80.0163940.11480.454553
9-0.039878-0.27910.609347
10-0.154638-1.08250.857828
11-0.09345-0.65420.741963
12-0.186246-1.30370.90079
13-0.066361-0.46450.677837
140.0713270.49930.309905
15-0.09618-0.67330.748027
16-0.163997-1.1480.871725
170.1758521.2310.112106
180.0539560.37770.353644
19-0.051178-0.35820.63915
200.0314090.21990.413445
210.1221670.85520.19831
22-0.197077-1.37950.913004
230.1587831.11150.135893
24-0.084585-0.59210.721745
25-0.198759-1.39130.914792
260.0412350.28860.387035
27-0.040511-0.28360.611037
28-0.102024-0.71420.760744
290.0469730.32880.371849
30-0.108126-0.75690.773628
310.1133280.79330.215715
320.0525270.36770.357344
33-0.114602-0.80220.786849
340.1560211.09210.140054
350.0880770.61650.270196
36-0.032412-0.22690.589271
370.1388340.97180.167953
380.1048260.73380.23329
39-0.007939-0.05560.522047
400.0806350.56440.287512
410.0100180.07010.47219
42-0.064543-0.45180.673297
43-0.037327-0.26130.602517
44-0.041697-0.29190.614195
45-0.085511-0.59860.723894
46-0.048072-0.33650.631037
47-0.00661-0.04630.518359







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.073548-0.51480.695509
10.0452120.31650.376489
20.3335192.33460.011852
30.0355470.24880.402268
4-0.073947-0.51760.696477
5-0.047291-0.3310.628985
6-0.310377-2.17260.982664
7-0.012991-0.09090.536044
8-0.00603-0.04220.516749
90.0365630.25590.399534
10-0.089462-0.62620.732967
11-0.253659-1.77560.958996
12-0.064404-0.45080.672948
130.1103260.77230.221829
140.1187270.83110.204978
15-0.193345-1.35340.908933
160.0139770.09780.461229
170.0616950.43190.333867
18-0.029377-0.20560.581038
19-0.081896-0.57330.71546
200.0985270.68970.246821
21-0.266664-1.86670.96603
22-0.020864-0.1460.557758
23-0.09391-0.65740.742991
24-0.093723-0.65610.742573
25-0.026338-0.18440.572756
26-0.084968-0.59480.722636
270.0096260.06740.473275
28-0.011708-0.0820.532491
290.0012340.00860.496571
300.0421160.29480.384692
31-0.073138-0.5120.694513
32-0.088932-0.62250.731758
330.0058770.04110.483677
340.0521980.36540.358197
350.000470.00330.498695
36-0.040425-0.2830.610806
370.0232570.16280.435674
380.0692670.48490.314966
39-0.063981-0.44790.671888
40-0.043856-0.3070.619924
41-0.089163-0.62410.732285
420.0159810.11190.455693
43-0.10336-0.72350.763601
440.0021480.0150.494033
450.0227650.15940.437022
460.0571130.39980.345524
470.0445310.31170.37829

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.073548 & -0.5148 & 0.695509 \tabularnewline
1 & 0.045212 & 0.3165 & 0.376489 \tabularnewline
2 & 0.333519 & 2.3346 & 0.011852 \tabularnewline
3 & 0.035547 & 0.2488 & 0.402268 \tabularnewline
4 & -0.073947 & -0.5176 & 0.696477 \tabularnewline
5 & -0.047291 & -0.331 & 0.628985 \tabularnewline
6 & -0.310377 & -2.1726 & 0.982664 \tabularnewline
7 & -0.012991 & -0.0909 & 0.536044 \tabularnewline
8 & -0.00603 & -0.0422 & 0.516749 \tabularnewline
9 & 0.036563 & 0.2559 & 0.399534 \tabularnewline
10 & -0.089462 & -0.6262 & 0.732967 \tabularnewline
11 & -0.253659 & -1.7756 & 0.958996 \tabularnewline
12 & -0.064404 & -0.4508 & 0.672948 \tabularnewline
13 & 0.110326 & 0.7723 & 0.221829 \tabularnewline
14 & 0.118727 & 0.8311 & 0.204978 \tabularnewline
15 & -0.193345 & -1.3534 & 0.908933 \tabularnewline
16 & 0.013977 & 0.0978 & 0.461229 \tabularnewline
17 & 0.061695 & 0.4319 & 0.333867 \tabularnewline
18 & -0.029377 & -0.2056 & 0.581038 \tabularnewline
19 & -0.081896 & -0.5733 & 0.71546 \tabularnewline
20 & 0.098527 & 0.6897 & 0.246821 \tabularnewline
21 & -0.266664 & -1.8667 & 0.96603 \tabularnewline
22 & -0.020864 & -0.146 & 0.557758 \tabularnewline
23 & -0.09391 & -0.6574 & 0.742991 \tabularnewline
24 & -0.093723 & -0.6561 & 0.742573 \tabularnewline
25 & -0.026338 & -0.1844 & 0.572756 \tabularnewline
26 & -0.084968 & -0.5948 & 0.722636 \tabularnewline
27 & 0.009626 & 0.0674 & 0.473275 \tabularnewline
28 & -0.011708 & -0.082 & 0.532491 \tabularnewline
29 & 0.001234 & 0.0086 & 0.496571 \tabularnewline
30 & 0.042116 & 0.2948 & 0.384692 \tabularnewline
31 & -0.073138 & -0.512 & 0.694513 \tabularnewline
32 & -0.088932 & -0.6225 & 0.731758 \tabularnewline
33 & 0.005877 & 0.0411 & 0.483677 \tabularnewline
34 & 0.052198 & 0.3654 & 0.358197 \tabularnewline
35 & 0.00047 & 0.0033 & 0.498695 \tabularnewline
36 & -0.040425 & -0.283 & 0.610806 \tabularnewline
37 & 0.023257 & 0.1628 & 0.435674 \tabularnewline
38 & 0.069267 & 0.4849 & 0.314966 \tabularnewline
39 & -0.063981 & -0.4479 & 0.671888 \tabularnewline
40 & -0.043856 & -0.307 & 0.619924 \tabularnewline
41 & -0.089163 & -0.6241 & 0.732285 \tabularnewline
42 & 0.015981 & 0.1119 & 0.455693 \tabularnewline
43 & -0.10336 & -0.7235 & 0.763601 \tabularnewline
44 & 0.002148 & 0.015 & 0.494033 \tabularnewline
45 & 0.022765 & 0.1594 & 0.437022 \tabularnewline
46 & 0.057113 & 0.3998 & 0.345524 \tabularnewline
47 & 0.044531 & 0.3117 & 0.37829 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6849&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]-0.073548[/C][C]-0.5148[/C][C]0.695509[/C][/ROW]
[ROW][C]1[/C][C]0.045212[/C][C]0.3165[/C][C]0.376489[/C][/ROW]
[ROW][C]2[/C][C]0.333519[/C][C]2.3346[/C][C]0.011852[/C][/ROW]
[ROW][C]3[/C][C]0.035547[/C][C]0.2488[/C][C]0.402268[/C][/ROW]
[ROW][C]4[/C][C]-0.073947[/C][C]-0.5176[/C][C]0.696477[/C][/ROW]
[ROW][C]5[/C][C]-0.047291[/C][C]-0.331[/C][C]0.628985[/C][/ROW]
[ROW][C]6[/C][C]-0.310377[/C][C]-2.1726[/C][C]0.982664[/C][/ROW]
[ROW][C]7[/C][C]-0.012991[/C][C]-0.0909[/C][C]0.536044[/C][/ROW]
[ROW][C]8[/C][C]-0.00603[/C][C]-0.0422[/C][C]0.516749[/C][/ROW]
[ROW][C]9[/C][C]0.036563[/C][C]0.2559[/C][C]0.399534[/C][/ROW]
[ROW][C]10[/C][C]-0.089462[/C][C]-0.6262[/C][C]0.732967[/C][/ROW]
[ROW][C]11[/C][C]-0.253659[/C][C]-1.7756[/C][C]0.958996[/C][/ROW]
[ROW][C]12[/C][C]-0.064404[/C][C]-0.4508[/C][C]0.672948[/C][/ROW]
[ROW][C]13[/C][C]0.110326[/C][C]0.7723[/C][C]0.221829[/C][/ROW]
[ROW][C]14[/C][C]0.118727[/C][C]0.8311[/C][C]0.204978[/C][/ROW]
[ROW][C]15[/C][C]-0.193345[/C][C]-1.3534[/C][C]0.908933[/C][/ROW]
[ROW][C]16[/C][C]0.013977[/C][C]0.0978[/C][C]0.461229[/C][/ROW]
[ROW][C]17[/C][C]0.061695[/C][C]0.4319[/C][C]0.333867[/C][/ROW]
[ROW][C]18[/C][C]-0.029377[/C][C]-0.2056[/C][C]0.581038[/C][/ROW]
[ROW][C]19[/C][C]-0.081896[/C][C]-0.5733[/C][C]0.71546[/C][/ROW]
[ROW][C]20[/C][C]0.098527[/C][C]0.6897[/C][C]0.246821[/C][/ROW]
[ROW][C]21[/C][C]-0.266664[/C][C]-1.8667[/C][C]0.96603[/C][/ROW]
[ROW][C]22[/C][C]-0.020864[/C][C]-0.146[/C][C]0.557758[/C][/ROW]
[ROW][C]23[/C][C]-0.09391[/C][C]-0.6574[/C][C]0.742991[/C][/ROW]
[ROW][C]24[/C][C]-0.093723[/C][C]-0.6561[/C][C]0.742573[/C][/ROW]
[ROW][C]25[/C][C]-0.026338[/C][C]-0.1844[/C][C]0.572756[/C][/ROW]
[ROW][C]26[/C][C]-0.084968[/C][C]-0.5948[/C][C]0.722636[/C][/ROW]
[ROW][C]27[/C][C]0.009626[/C][C]0.0674[/C][C]0.473275[/C][/ROW]
[ROW][C]28[/C][C]-0.011708[/C][C]-0.082[/C][C]0.532491[/C][/ROW]
[ROW][C]29[/C][C]0.001234[/C][C]0.0086[/C][C]0.496571[/C][/ROW]
[ROW][C]30[/C][C]0.042116[/C][C]0.2948[/C][C]0.384692[/C][/ROW]
[ROW][C]31[/C][C]-0.073138[/C][C]-0.512[/C][C]0.694513[/C][/ROW]
[ROW][C]32[/C][C]-0.088932[/C][C]-0.6225[/C][C]0.731758[/C][/ROW]
[ROW][C]33[/C][C]0.005877[/C][C]0.0411[/C][C]0.483677[/C][/ROW]
[ROW][C]34[/C][C]0.052198[/C][C]0.3654[/C][C]0.358197[/C][/ROW]
[ROW][C]35[/C][C]0.00047[/C][C]0.0033[/C][C]0.498695[/C][/ROW]
[ROW][C]36[/C][C]-0.040425[/C][C]-0.283[/C][C]0.610806[/C][/ROW]
[ROW][C]37[/C][C]0.023257[/C][C]0.1628[/C][C]0.435674[/C][/ROW]
[ROW][C]38[/C][C]0.069267[/C][C]0.4849[/C][C]0.314966[/C][/ROW]
[ROW][C]39[/C][C]-0.063981[/C][C]-0.4479[/C][C]0.671888[/C][/ROW]
[ROW][C]40[/C][C]-0.043856[/C][C]-0.307[/C][C]0.619924[/C][/ROW]
[ROW][C]41[/C][C]-0.089163[/C][C]-0.6241[/C][C]0.732285[/C][/ROW]
[ROW][C]42[/C][C]0.015981[/C][C]0.1119[/C][C]0.455693[/C][/ROW]
[ROW][C]43[/C][C]-0.10336[/C][C]-0.7235[/C][C]0.763601[/C][/ROW]
[ROW][C]44[/C][C]0.002148[/C][C]0.015[/C][C]0.494033[/C][/ROW]
[ROW][C]45[/C][C]0.022765[/C][C]0.1594[/C][C]0.437022[/C][/ROW]
[ROW][C]46[/C][C]0.057113[/C][C]0.3998[/C][C]0.345524[/C][/ROW]
[ROW][C]47[/C][C]0.044531[/C][C]0.3117[/C][C]0.37829[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6849&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6849&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.073548-0.51480.695509
10.0452120.31650.376489
20.3335192.33460.011852
30.0355470.24880.402268
4-0.073947-0.51760.696477
5-0.047291-0.3310.628985
6-0.310377-2.17260.982664
7-0.012991-0.09090.536044
8-0.00603-0.04220.516749
90.0365630.25590.399534
10-0.089462-0.62620.732967
11-0.253659-1.77560.958996
12-0.064404-0.45080.672948
130.1103260.77230.221829
140.1187270.83110.204978
15-0.193345-1.35340.908933
160.0139770.09780.461229
170.0616950.43190.333867
18-0.029377-0.20560.581038
19-0.081896-0.57330.71546
200.0985270.68970.246821
21-0.266664-1.86670.96603
22-0.020864-0.1460.557758
23-0.09391-0.65740.742991
24-0.093723-0.65610.742573
25-0.026338-0.18440.572756
26-0.084968-0.59480.722636
270.0096260.06740.473275
28-0.011708-0.0820.532491
290.0012340.00860.496571
300.0421160.29480.384692
31-0.073138-0.5120.694513
32-0.088932-0.62250.731758
330.0058770.04110.483677
340.0521980.36540.358197
350.000470.00330.498695
36-0.040425-0.2830.610806
370.0232570.16280.435674
380.0692670.48490.314966
39-0.063981-0.44790.671888
40-0.043856-0.3070.619924
41-0.089163-0.62410.732285
420.0159810.11190.455693
43-0.10336-0.72350.763601
440.0021480.0150.494033
450.0227650.15940.437022
460.0571130.39980.345524
470.0445310.31170.37829



Parameters (Session):
par1 = 48 ; par2 = 1.1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')